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Modul Kuliah Data Mining

Halaman ini, merupakan bahan bacaan untuk mata kuliah Data Mining.

Data mining adalah proses penggalian pola dari data. Data mining menjadi alat yang semakin penting untuk mengubah data menjadi informasi. Hal ini umumnya digunakan dalam berbagai profil praktek, seperti pemasaran, pengawasan, deteksi penipuan dan penemuan ilmiah. Data mining dapat digunakan untuk menemukan pola dalam data tetapi sering dilakukan hanya pada sampel data. Proses pertambangan tidak akan efektif jika sampel bukan merupakan representasi yang baik dari tubuh yang lebih besar dari data. Data mining tidak dapat menemukan pola-pola yang mungkin ada dalam tubuh lebih besar dari data jika pola-pola yang tidak hadir dalam sampel yang “ditambang”. Ketidakmampuan untuk menemukan pola bisa menjadi penyebab untuk beberapa perselisihan antara pelanggan dan penyedia layanan. Oleh karena itu data mining tidak sangat mudah, namun mungkin berguna jika cukup representatif sampel data dikumpulkan. Penemuan pola tertentu dalam satu set data tertentu tidak berarti bahwa suatu pola ditemukan di tempat lain pada data yang lebih besar dari sampel yang diambil. Sebuah bagian penting dari proses ini adalah verifikasi dan validasi pola pada data sampel lainnya. Dibawah ini merupakan referensi sumber bacaan Data mining

1. Basic Data Mining Techniques

2. Data Mining Methods and Models, Larose 2006

3. Advantages Of Decision Trees Using Data Mining In Indian Retail Industry

4. Penggunaan Teknik Data Mining Neural Network untuk Prediksi dalam Pasar Saham

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